---
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: layoutlm-funsd-tf
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# layoutlm-funsd-tf

This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.6138
- Validation Loss: 1.0719
- Train Overall Precision: 0.4799
- Train Overall Recall: 0.5926
- Train Overall F1: 0.5303
- Train Overall Accuracy: 0.6254
- Epoch: 7

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6621     | 1.4563          | 0.1960                  | 0.3126               | 0.2410           | 0.4075                 | 0     |
| 1.3485     | 1.2456          | 0.2943                  | 0.4867               | 0.3668           | 0.4838                 | 1     |
| 1.1546     | 1.1675          | 0.3643                  | 0.5334               | 0.4329           | 0.5295                 | 2     |
| 1.0163     | 1.0992          | 0.4061                  | 0.5514               | 0.4678           | 0.5842                 | 3     |
| 0.8892     | 1.0781          | 0.4346                  | 0.5605               | 0.4896           | 0.5989                 | 4     |
| 0.7755     | 1.1893          | 0.4589                  | 0.5735               | 0.5098           | 0.5913                 | 5     |
| 0.6631     | 1.0950          | 0.4863                  | 0.5595               | 0.5203           | 0.6265                 | 6     |
| 0.6138     | 1.0719          | 0.4799                  | 0.5926               | 0.5303           | 0.6254                 | 7     |


### Framework versions

- Transformers 4.37.2
- TensorFlow 2.15.0
- Datasets 2.17.0
- Tokenizers 0.15.2